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A document clustering method based on ant algorithms

Machnik Ł.

TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

2007

Vol. 11, No 1-2

87-102

Ant Algorithms, particularly the Ant Colony Optimization (ACO) metaheuristic, are universal, flexible and scalable because they are based on multi-agent cooperation. The increased demand for effective methods of managing large collections of documents is a sufficient stimulus to place the research on new applications of ant-based systems in the area of text document processing. The author presents an implementation of such a technique in the area of document clustering. Details of the ACO document clustering method and results of experiments are presented.